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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Services UI Localization - AI Workflow Specialist - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Salary:** $144,600.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Business Systems, Web Development, Django Web Framework, Python (Programming Language), Automation of Marketing, Tensorflow, Openapi, Data Processing, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Build Management, AI Platforms, Kubernetes, HuggingFace, Virtual Agents, GPT, Automation Anywhere - **Published:** August 13, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27927013/Services-Ui-Localization-Ai-Workflow-Specialist-California-Cupertino-7413 ## About the Role BS/MS in a technology or business-related field, or equivalent practical experience Hands-on experience building AI-powered workflows and automation solutions in production or near-production environments Proficiency in Python and experience with integrating frontier Large Language Models (e.g.: Gemini, Claude, GPT) leveraging modern AI/ML frameworks (e.g.: LangChain, LangGraph) Experience designing and deploying AI services through APIs, automation platforms, or orchestration frameworks Strong ability to break down complex, ambiguous operational problems into structured steps an AI agent can execute Clear communicator - able to translate technical concepts for non-technical partners and operational problems into engineering requirements Exceptional presentation and storytelling skills - able to build compelling executive narratives and demo AI solutions with clarity and confidence Experience driving cross-functional work through influence without formal authority Direct experience handling sensitive and confidential information with integrity and discretion Ability to be onsite; this role is an in-person, onsite position Available to work nights and weekends as needed Up to 6% travel is required annually, both domestic and international Preferred Qualifications Experience in software localization, internationalization, or globalization operations Prompt engineering experience, including structured prompting and iterative refinement Knowledge of integration patterns using OpenAPI and MCP to connect AI agents with business systems and API) Gateways. Experience building internal tools in collaboration with engineering or platform teams Ability to define and track KPIs demonstrating operational ROI from automation initiatives Experience evaluating reliability, observability, and governance considerations for autonomous AI workflows Familiarity with web development in Python: Django, Flask Familiarity with AI/ML: TensorFlow, PyTorch, Hugging Face ## Description Our UI Loc PMs are embedded in Apple's feature development lifecycle - attending kickoffs for new services and features, scoping localization work, managing tasks through translation and review, and producing planning and reporting deliverables at scale. You'll work directly with them to identify where automation can eliminate or reduce manual work, build those solutions, and bring them into how the team actually operates. You'll also proactively spot opportunities the team hasn't seen yet and push thinking forward. Your work will be shaped in close partnership with our Strategy, AI/ML, and tooling organizations - what you build connects to a broader platform rather than working in silos. Your primary output is the agents, automations, and process improvements that make project management and delivery faster, smarter, and more scalable. Responsibilities Build and Deploy - Design and build AI agents, automated workflows, and integrations that reduce manual work for Localization PMs - covering status tracking, intake coordination, data processing, project scaffolding, handoff automation, and more Develop workflow orchestration systems with task routing, contextual decision-making, escalation handling, and automated reporting Establish robust evaluation frameworks to continuously monitor AI model performance, analyzing metrics and user feedback to identify areas for improvement, reduce bias, and ensure high-quality outputs Apply GenAI techniques including RAG, prompt engineering, and tool-use agents; evaluate and integrate LLMs suited to localization and PM workflows Write clean, documented, maintainable code; build for adoption, reliability, and scale Test against real operational conditions; measure impact and iterate Prioritize and Govern - Maintain a living portfolio of automation and process improvement opportunities - owning intake, prioritization, and sequencing Define success metrics before work begins; track and report impact after deployment; use data to guide what gets built next Establish lightweight governance to prevent duplication, surface blockers early, and ensure AI solutions operate within established security, confidentiality, and quality frameworks Partner, Advise, and Integrate - Work closely with Localization PMs to understand workflows, pain points, and priorities; translate those into concrete automation opportunities Actively support teammates who are building their own solutions - advising on methodology, tooling choices, and quality of execution; connecting efforts so the team builds cohesively Support PMs in adopting new tools into their day-to-day work Collaborate with Strategy, AI/ML, and engineering teams to align with broader platform standards and shared infrastructure Represent the team in cross-functional conversations with AI leads and partners as needed - bringing strong executive presence, sharp storytelling, and the ability to demo and narrate the team's work in ways that build trust and visibility at every level ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [For the REST of us: API First and Conway’s Law](https://www.wearedevelopers.com/videos/1932-for-the-rest-of-us-api-first-and-conway-s-law) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [OpenAPI meets OpenAI](https://www.wearedevelopers.com/videos/1150-openapi-meets-openai) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)